Overview

Brought to you by YData

Dataset statistics

Number of variables23
Number of observations8821
Missing cells0
Missing cells (%)0.0%
Duplicate rows2
Duplicate rows (%)< 0.1%
Total size in memory1.5 MiB
Average record size in memory184.0 B

Variable types

DateTime1
Numeric21
Text1

Alerts

Dataset has 2 (< 0.1%) duplicate rowsDuplicates
AQI is highly overall correlated with High PM 1 and 5 other fieldsHigh correlation
Dew Point is highly overall correlated with Heat Index and 12 other fieldsHigh correlation
Heat Index is highly overall correlated with Dew Point and 12 other fieldsHigh correlation
High Dew Point is highly overall correlated with Dew Point and 12 other fieldsHigh correlation
High Heat Index is highly overall correlated with Dew Point and 12 other fieldsHigh correlation
High Hum is highly overall correlated with Dew Point and 9 other fieldsHigh correlation
High PM 1 is highly overall correlated with AQI and 5 other fieldsHigh correlation
High PM 10 is highly overall correlated with AQI and 5 other fieldsHigh correlation
High PM 2.5 is highly overall correlated with AQI and 5 other fieldsHigh correlation
High Temp - C is highly overall correlated with Dew Point and 9 other fieldsHigh correlation
High Wet Bulb is highly overall correlated with Dew Point and 12 other fieldsHigh correlation
Hum is highly overall correlated with Dew Point and 9 other fieldsHigh correlation
Low Dew Point is highly overall correlated with Dew Point and 12 other fieldsHigh correlation
Low Hum is highly overall correlated with Dew Point and 9 other fieldsHigh correlation
Low Temp - C is highly overall correlated with Dew Point and 9 other fieldsHigh correlation
Low Wet Bulb is highly overall correlated with Dew Point and 12 other fieldsHigh correlation
PM 1 is highly overall correlated with AQI and 5 other fieldsHigh correlation
PM 10 is highly overall correlated with AQI and 5 other fieldsHigh correlation
PM 2.5 is highly overall correlated with AQI and 5 other fieldsHigh correlation
Temp - C is highly overall correlated with Dew Point and 9 other fieldsHigh correlation
Wet Bulb is highly overall correlated with Dew Point and 12 other fieldsHigh correlation

Reproduction

Analysis started2025-02-05 11:33:10.786259
Analysis finished2025-02-05 11:34:42.137691
Duration1 minute and 31.35 seconds
Software versionydata-profiling vv4.12.2
Download configurationconfig.json

Variables

Distinct8819
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size69.0 KiB
Minimum2023-03-01 00:00:00
Maximum2023-06-01 00:00:00
Invalid dates0
Invalid dates (%)0.0%
2025-02-05T17:04:42.335221image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:04:42.726832image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

AQI
Real number (ℝ)

High correlation 

Distinct154
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.415599
Minimum0
Maximum238
Zeros17
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size69.0 KiB
2025-02-05T17:04:43.073074image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median13
Q324
95-th percentile69
Maximum238
Range238
Interquartile range (IQR)17

Descriptive statistics

Standard deviation21.877976
Coefficient of variation (CV)1.0716304
Kurtosis10.527465
Mean20.415599
Median Absolute Deviation (MAD)7
Skewness2.775408
Sum180086
Variance478.64585
MonotonicityNot monotonic
2025-02-05T17:04:43.403623image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 530
 
6.0%
5 445
 
5.0%
7 434
 
4.9%
9 430
 
4.9%
11 415
 
4.7%
10 413
 
4.7%
12 412
 
4.7%
8 355
 
4.0%
14 341
 
3.9%
4 334
 
3.8%
Other values (144) 4712
53.4%
ValueCountFrequency (%)
0 17
 
0.2%
1 139
 
1.6%
2 141
 
1.6%
3 217
2.5%
4 334
3.8%
5 445
5.0%
6 530
6.0%
7 434
4.9%
8 355
4.0%
9 430
4.9%
ValueCountFrequency (%)
238 1
< 0.1%
187 1
< 0.1%
185 1
< 0.1%
177 1
< 0.1%
174 1
< 0.1%
170 1
< 0.1%
169 2
< 0.1%
168 1
< 0.1%
167 1
< 0.1%
166 1
< 0.1%
Distinct160
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size69.0 KiB
2025-02-05T17:04:44.093137image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length3
Median length2
Mean length1.8966104
Min length1

Characters and Unicode

Total characters16730
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)0.2%

Sample

1st row8
2nd row6
3rd row9
4th row7
5th row7
ValueCountFrequency (%)
10 549
 
6.2%
18 506
 
5.7%
14 491
 
5.6%
26 397
 
4.5%
22 341
 
3.9%
13 292
 
3.3%
11 279
 
3.2%
17 278
 
3.2%
16 259
 
2.9%
15 254
 
2.9%
Other values (150) 5175
58.7%
2025-02-05T17:04:45.121589image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 4308
25.8%
2 2957
17.7%
3 1613
 
9.6%
4 1392
 
8.3%
8 1324
 
7.9%
6 1230
 
7.4%
0 1171
 
7.0%
5 961
 
5.7%
7 915
 
5.5%
9 857
 
5.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 16730
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 4308
25.8%
2 2957
17.7%
3 1613
 
9.6%
4 1392
 
8.3%
8 1324
 
7.9%
6 1230
 
7.4%
0 1171
 
7.0%
5 961
 
5.7%
7 915
 
5.5%
9 857
 
5.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 16730
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 4308
25.8%
2 2957
17.7%
3 1613
 
9.6%
4 1392
 
8.3%
8 1324
 
7.9%
6 1230
 
7.4%
0 1171
 
7.0%
5 961
 
5.7%
7 915
 
5.5%
9 857
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 16730
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 4308
25.8%
2 2957
17.7%
3 1613
 
9.6%
4 1392
 
8.3%
8 1324
 
7.9%
6 1230
 
7.4%
0 1171
 
7.0%
5 961
 
5.7%
7 915
 
5.5%
9 857
 
5.1%

PM 1
Real number (ℝ)

High correlation 

Distinct104
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.561954
Minimum0
Maximum136
Zeros26
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size69.0 KiB
2025-02-05T17:04:45.677770image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median12
Q321
95-th percentile56
Maximum136
Range136
Interquartile range (IQR)14

Descriptive statistics

Standard deviation16.073984
Coefficient of variation (CV)0.91527305
Kurtosis5.4079419
Mean17.561954
Median Absolute Deviation (MAD)6
Skewness2.174093
Sum154914
Variance258.37295
MonotonicityNot monotonic
2025-02-05T17:04:46.022463image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 595
 
6.7%
10 557
 
6.3%
8 460
 
5.2%
12 421
 
4.8%
7 405
 
4.6%
9 401
 
4.5%
11 395
 
4.5%
5 387
 
4.4%
4 349
 
4.0%
13 348
 
3.9%
Other values (94) 4503
51.0%
ValueCountFrequency (%)
0 26
 
0.3%
1 128
 
1.5%
2 156
 
1.8%
3 195
 
2.2%
4 349
4.0%
5 387
4.4%
6 595
6.7%
7 405
4.6%
8 460
5.2%
9 401
4.5%
ValueCountFrequency (%)
136 1
 
< 0.1%
104 1
 
< 0.1%
102 3
< 0.1%
100 3
< 0.1%
99 2
< 0.1%
98 2
< 0.1%
97 4
< 0.1%
96 1
 
< 0.1%
95 4
< 0.1%
94 2
< 0.1%

High PM 1
Real number (ℝ)

High correlation 

Distinct115
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.960209
Minimum1
Maximum452
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.0 KiB
2025-02-05T17:04:46.337037image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q111
median17
Q325
95-th percentile63
Maximum452
Range451
Interquartile range (IQR)14

Descriptive statistics

Standard deviation17.799198
Coefficient of variation (CV)0.81052045
Kurtosis42.936307
Mean21.960209
Median Absolute Deviation (MAD)6
Skewness3.5589629
Sum193711
Variance316.81146
MonotonicityNot monotonic
2025-02-05T17:04:46.682519image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 418
 
4.7%
13 412
 
4.7%
9 402
 
4.6%
8 395
 
4.5%
16 389
 
4.4%
11 386
 
4.4%
10 377
 
4.3%
15 376
 
4.3%
12 369
 
4.2%
22 356
 
4.0%
Other values (105) 4941
56.0%
ValueCountFrequency (%)
1 2
 
< 0.1%
2 28
 
0.3%
3 90
 
1.0%
4 95
 
1.1%
5 131
 
1.5%
6 154
 
1.7%
7 262
3.0%
8 395
4.5%
9 402
4.6%
10 377
4.3%
ValueCountFrequency (%)
452 1
< 0.1%
116 1
< 0.1%
114 2
< 0.1%
113 2
< 0.1%
112 2
< 0.1%
111 2
< 0.1%
110 1
< 0.1%
108 2
< 0.1%
107 2
< 0.1%
106 2
< 0.1%

PM 2.5
Real number (ℝ)

High correlation 

Distinct167
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.351547
Minimum0
Maximum212
Zeros14
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size69.0 KiB
2025-02-05T17:04:46.922813image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q19
median16
Q330
95-th percentile87
Maximum212
Range212
Interquartile range (IQR)21

Descriptive statistics

Standard deviation26.27112
Coefficient of variation (CV)1.0362728
Kurtosis6.4708049
Mean25.351547
Median Absolute Deviation (MAD)9
Skewness2.3749515
Sum223626
Variance690.17175
MonotonicityNot monotonic
2025-02-05T17:04:47.154756image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 428
 
4.9%
7 399
 
4.5%
6 373
 
4.2%
12 370
 
4.2%
14 360
 
4.1%
10 316
 
3.6%
15 305
 
3.5%
11 301
 
3.4%
9 298
 
3.4%
13 296
 
3.4%
Other values (157) 5375
60.9%
ValueCountFrequency (%)
0 14
 
0.2%
1 90
 
1.0%
2 125
 
1.4%
3 128
 
1.5%
4 189
2.1%
5 235
2.7%
6 373
4.2%
7 399
4.5%
8 428
4.9%
9 298
3.4%
ValueCountFrequency (%)
212 1
 
< 0.1%
180 1
 
< 0.1%
179 1
 
< 0.1%
173 1
 
< 0.1%
172 1
 
< 0.1%
169 1
 
< 0.1%
168 3
< 0.1%
167 1
 
< 0.1%
166 4
< 0.1%
163 1
 
< 0.1%

High PM 2.5
Real number (ℝ)

High correlation 

Distinct187
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.025507
Minimum1
Maximum1286
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.0 KiB
2025-02-05T17:04:47.380946image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q116
median24
Q338
95-th percentile99
Maximum1286
Range1285
Interquartile range (IQR)22

Descriptive statistics

Standard deviation31.285992
Coefficient of variation (CV)0.94732813
Kurtosis295.09145
Mean33.025507
Median Absolute Deviation (MAD)10
Skewness9.0075316
Sum291318
Variance978.81329
MonotonicityNot monotonic
2025-02-05T17:04:47.614860image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 292
 
3.3%
13 289
 
3.3%
14 279
 
3.2%
21 278
 
3.2%
12 260
 
2.9%
22 259
 
2.9%
20 259
 
2.9%
19 254
 
2.9%
11 248
 
2.8%
18 247
 
2.8%
Other values (177) 6156
69.8%
ValueCountFrequency (%)
1 1
 
< 0.1%
2 8
 
0.1%
3 33
 
0.4%
4 61
 
0.7%
5 62
 
0.7%
6 83
 
0.9%
7 100
1.1%
8 112
1.3%
9 161
1.8%
10 234
2.7%
ValueCountFrequency (%)
1286 1
< 0.1%
204 1
< 0.1%
199 1
< 0.1%
197 1
< 0.1%
195 2
< 0.1%
190 1
< 0.1%
188 2
< 0.1%
186 2
< 0.1%
185 1
< 0.1%
183 1
< 0.1%

PM 10
Real number (ℝ)

High correlation 

Distinct174
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.627593
Minimum0
Maximum215
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size69.0 KiB
2025-02-05T17:04:47.854471image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median17
Q332
95-th percentile90
Maximum215
Range215
Interquartile range (IQR)22

Descriptive statistics

Standard deviation28.25458
Coefficient of variation (CV)1.0226942
Kurtosis5.0735582
Mean27.627593
Median Absolute Deviation (MAD)9
Skewness2.1366034
Sum243703
Variance798.32127
MonotonicityNot monotonic
2025-02-05T17:04:48.095908image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 473
 
5.4%
12 367
 
4.2%
10 360
 
4.1%
16 336
 
3.8%
14 327
 
3.7%
9 318
 
3.6%
6 310
 
3.5%
7 309
 
3.5%
18 305
 
3.5%
15 298
 
3.4%
Other values (164) 5418
61.4%
ValueCountFrequency (%)
0 5
 
0.1%
1 47
 
0.5%
2 129
 
1.5%
3 110
 
1.2%
4 174
 
2.0%
5 183
 
2.1%
6 310
3.5%
7 309
3.5%
8 473
5.4%
9 318
3.6%
ValueCountFrequency (%)
215 1
< 0.1%
188 2
< 0.1%
181 1
< 0.1%
180 1
< 0.1%
178 1
< 0.1%
177 1
< 0.1%
176 2
< 0.1%
175 2
< 0.1%
174 1
< 0.1%
173 2
< 0.1%

High PM 10
Real number (ℝ)

High correlation 

Distinct194
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.982088
Minimum2
Maximum1391
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.0 KiB
2025-02-05T17:04:48.320627image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile10
Q117
median26
Q345
95-th percentile104
Maximum1391
Range1389
Interquartile range (IQR)28

Descriptive statistics

Standard deviation33.53398
Coefficient of variation (CV)0.90676274
Kurtosis303.94419
Mean36.982088
Median Absolute Deviation (MAD)11
Skewness8.9920195
Sum326219
Variance1124.5278
MonotonicityNot monotonic
2025-02-05T17:04:48.554585image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 284
 
3.2%
16 283
 
3.2%
23 276
 
3.1%
18 263
 
3.0%
22 257
 
2.9%
19 252
 
2.9%
21 248
 
2.8%
13 248
 
2.8%
15 247
 
2.8%
26 240
 
2.7%
Other values (184) 6223
70.5%
ValueCountFrequency (%)
2 2
 
< 0.1%
3 7
 
0.1%
4 31
 
0.4%
5 51
 
0.6%
6 55
 
0.6%
7 81
0.9%
8 86
1.0%
9 96
1.1%
10 132
1.5%
11 184
2.1%
ValueCountFrequency (%)
1391 1
< 0.1%
216 1
< 0.1%
209 1
< 0.1%
208 1
< 0.1%
207 1
< 0.1%
206 2
< 0.1%
203 1
< 0.1%
200 1
< 0.1%
199 1
< 0.1%
198 1
< 0.1%

Temp - C
Real number (ℝ)

High correlation 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.737898
Minimum26
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.0 KiB
2025-02-05T17:04:48.749423image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile28
Q129
median30
Q331
95-th percentile32
Maximum32
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.2306563
Coefficient of variation (CV)0.041383431
Kurtosis-0.78537886
Mean29.737898
Median Absolute Deviation (MAD)1
Skewness-0.0059437453
Sum262318
Variance1.5145148
MonotonicityNot monotonic
2025-02-05T17:04:48.918569image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
29 2410
27.3%
30 2207
25.0%
31 2042
23.1%
28 1354
15.3%
32 638
 
7.2%
27 168
 
1.9%
26 2
 
< 0.1%
ValueCountFrequency (%)
26 2
 
< 0.1%
27 168
 
1.9%
28 1354
15.3%
29 2410
27.3%
30 2207
25.0%
31 2042
23.1%
32 638
 
7.2%
ValueCountFrequency (%)
32 638
 
7.2%
31 2042
23.1%
30 2207
25.0%
29 2410
27.3%
28 1354
15.3%
27 168
 
1.9%
26 2
 
< 0.1%

High Temp - C
Real number (ℝ)

High correlation 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.77837
Minimum26
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.0 KiB
2025-02-05T17:04:49.095620image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile28
Q129
median30
Q331
95-th percentile32
Maximum32
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.2239908
Coefficient of variation (CV)0.04110335
Kurtosis-0.79013272
Mean29.77837
Median Absolute Deviation (MAD)1
Skewness-0.023580814
Sum262675
Variance1.4981534
MonotonicityNot monotonic
2025-02-05T17:04:49.267692image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
29 2359
26.7%
30 2255
25.6%
31 2094
23.7%
28 1295
14.7%
32 671
 
7.6%
27 146
 
1.7%
26 1
 
< 0.1%
ValueCountFrequency (%)
26 1
 
< 0.1%
27 146
 
1.7%
28 1295
14.7%
29 2359
26.7%
30 2255
25.6%
31 2094
23.7%
32 671
 
7.6%
ValueCountFrequency (%)
32 671
 
7.6%
31 2094
23.7%
30 2255
25.6%
29 2359
26.7%
28 1295
14.7%
27 146
 
1.7%
26 1
 
< 0.1%

Low Temp - C
Real number (ℝ)

High correlation 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.695273
Minimum26
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.0 KiB
2025-02-05T17:04:49.434622image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile28
Q129
median30
Q331
95-th percentile32
Maximum32
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.2324456
Coefficient of variation (CV)0.04150309
Kurtosis-0.78523003
Mean29.695273
Median Absolute Deviation (MAD)1
Skewness0.017010976
Sum261942
Variance1.5189221
MonotonicityNot monotonic
2025-02-05T17:04:49.602697image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
29 2454
27.8%
30 2170
24.6%
31 1989
22.5%
28 1429
16.2%
32 595
 
6.7%
27 181
 
2.1%
26 3
 
< 0.1%
ValueCountFrequency (%)
26 3
 
< 0.1%
27 181
 
2.1%
28 1429
16.2%
29 2454
27.8%
30 2170
24.6%
31 1989
22.5%
32 595
 
6.7%
ValueCountFrequency (%)
32 595
 
6.7%
31 1989
22.5%
30 2170
24.6%
29 2454
27.8%
28 1429
16.2%
27 181
 
2.1%
26 3
 
< 0.1%

Hum
Real number (ℝ)

High correlation 

Distinct65
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.332162
Minimum28
Maximum93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.0 KiB
2025-02-05T17:04:49.810580image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile57
Q167
median72
Q375
95-th percentile80
Maximum93
Range65
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.1994958
Coefficient of variation (CV)0.1023642
Kurtosis2.8370842
Mean70.332162
Median Absolute Deviation (MAD)4
Skewness-1.1838796
Sum620400
Variance51.83274
MonotonicityNot monotonic
2025-02-05T17:04:50.055993image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74 749
 
8.5%
76 669
 
7.6%
72 646
 
7.3%
73 577
 
6.5%
75 555
 
6.3%
70 521
 
5.9%
71 454
 
5.1%
66 416
 
4.7%
68 411
 
4.7%
77 410
 
4.6%
Other values (55) 3413
38.7%
ValueCountFrequency (%)
28 1
 
< 0.1%
29 1
 
< 0.1%
30 3
< 0.1%
31 1
 
< 0.1%
32 3
< 0.1%
33 1
 
< 0.1%
34 2
< 0.1%
35 2
< 0.1%
36 3
< 0.1%
37 2
< 0.1%
ValueCountFrequency (%)
93 1
 
< 0.1%
92 6
 
0.1%
91 2
 
< 0.1%
90 3
 
< 0.1%
89 3
 
< 0.1%
88 5
 
0.1%
87 6
 
0.1%
86 6
 
0.1%
85 4
 
< 0.1%
84 30
0.3%

High Hum
Real number (ℝ)

High correlation 

Distinct64
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.878018
Minimum29
Maximum94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.0 KiB
2025-02-05T17:04:50.318276image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile58
Q167
median72
Q375
95-th percentile80
Maximum94
Range65
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.9491247
Coefficient of variation (CV)0.09804344
Kurtosis2.9394493
Mean70.878018
Median Absolute Deviation (MAD)4
Skewness-1.15344
Sum625215
Variance48.290334
MonotonicityNot monotonic
2025-02-05T17:04:50.779408image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74 803
 
9.1%
76 701
 
7.9%
72 668
 
7.6%
75 561
 
6.4%
73 554
 
6.3%
70 549
 
6.2%
77 459
 
5.2%
71 437
 
5.0%
68 410
 
4.6%
66 403
 
4.6%
Other values (54) 3276
37.1%
ValueCountFrequency (%)
29 1
 
< 0.1%
30 2
< 0.1%
31 1
 
< 0.1%
32 2
< 0.1%
33 1
 
< 0.1%
34 2
< 0.1%
35 1
 
< 0.1%
36 3
< 0.1%
37 3
< 0.1%
40 3
< 0.1%
ValueCountFrequency (%)
94 1
 
< 0.1%
93 4
 
< 0.1%
92 4
 
< 0.1%
91 2
 
< 0.1%
90 4
 
< 0.1%
89 4
 
< 0.1%
88 7
0.1%
87 5
0.1%
86 7
0.1%
85 10
0.1%

Low Hum
Real number (ℝ)

High correlation 

Distinct64
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.743566
Minimum28
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.0 KiB
2025-02-05T17:04:51.018468image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile56
Q166
median71
Q375
95-th percentile80
Maximum92
Range64
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.4482032
Coefficient of variation (CV)0.10679413
Kurtosis2.6744745
Mean69.743566
Median Absolute Deviation (MAD)4
Skewness-1.1909979
Sum615208
Variance55.475731
MonotonicityNot monotonic
2025-02-05T17:04:51.259413image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74 736
 
8.3%
72 639
 
7.2%
76 631
 
7.2%
73 546
 
6.2%
75 535
 
6.1%
71 488
 
5.5%
70 483
 
5.5%
68 431
 
4.9%
69 412
 
4.7%
66 411
 
4.7%
Other values (54) 3509
39.8%
ValueCountFrequency (%)
28 3
< 0.1%
29 1
 
< 0.1%
30 3
< 0.1%
31 2
< 0.1%
32 2
< 0.1%
33 4
< 0.1%
34 2
< 0.1%
35 2
< 0.1%
36 1
 
< 0.1%
37 3
< 0.1%
ValueCountFrequency (%)
92 6
 
0.1%
91 1
 
< 0.1%
90 3
 
< 0.1%
88 5
 
0.1%
87 7
 
0.1%
86 4
 
< 0.1%
85 3
 
< 0.1%
84 11
 
0.1%
83 54
0.6%
82 110
1.2%

Dew Point
Real number (ℝ)

High correlation 

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.653894
Minimum9
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.0 KiB
2025-02-05T17:04:51.499618image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile19
Q122
median24
Q326
95-th percentile27
Maximum29
Range20
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.5032029
Coefficient of variation (CV)0.10582625
Kurtosis1.4740178
Mean23.653894
Median Absolute Deviation (MAD)2
Skewness-0.93943942
Sum208651
Variance6.2660248
MonotonicityNot monotonic
2025-02-05T17:04:51.715654image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
26 1725
19.6%
24 1542
17.5%
25 1344
15.2%
22 985
11.2%
23 853
9.7%
21 847
9.6%
27 508
 
5.8%
20 357
 
4.0%
19 185
 
2.1%
28 144
 
1.6%
Other values (11) 331
 
3.8%
ValueCountFrequency (%)
9 1
 
< 0.1%
10 5
 
0.1%
11 4
 
< 0.1%
12 4
 
< 0.1%
13 9
 
0.1%
14 4
 
< 0.1%
15 22
 
0.2%
16 59
0.7%
17 85
1.0%
18 121
1.4%
ValueCountFrequency (%)
29 17
 
0.2%
28 144
 
1.6%
27 508
 
5.8%
26 1725
19.6%
25 1344
15.2%
24 1542
17.5%
23 853
9.7%
22 985
11.2%
21 847
9.6%
20 357
 
4.0%

High Dew Point
Real number (ℝ)

High correlation 

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.805464
Minimum10
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.0 KiB
2025-02-05T17:04:51.925384image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile20
Q122
median24
Q326
95-th percentile27
Maximum29
Range19
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.4253054
Coefficient of variation (CV)0.1018802
Kurtosis1.3574624
Mean23.805464
Median Absolute Deviation (MAD)2
Skewness-0.89071789
Sum209988
Variance5.8821062
MonotonicityNot monotonic
2025-02-05T17:04:52.132363image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
26 1758
19.9%
24 1531
17.4%
25 1372
15.6%
22 1043
11.8%
23 865
9.8%
21 764
8.7%
27 562
 
6.4%
20 287
 
3.3%
28 190
 
2.2%
19 169
 
1.9%
Other values (10) 280
 
3.2%
ValueCountFrequency (%)
10 4
 
< 0.1%
11 3
 
< 0.1%
12 3
 
< 0.1%
13 6
 
0.1%
14 4
 
< 0.1%
15 12
 
0.1%
16 52
 
0.6%
17 75
0.9%
18 103
1.2%
19 169
1.9%
ValueCountFrequency (%)
29 18
 
0.2%
28 190
 
2.2%
27 562
 
6.4%
26 1758
19.9%
25 1372
15.6%
24 1531
17.4%
23 865
9.8%
22 1043
11.8%
21 764
8.7%
20 287
 
3.3%

Low Dew Point
Real number (ℝ)

High correlation 

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.48974
Minimum9
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.0 KiB
2025-02-05T17:04:52.336508image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile19
Q122
median24
Q326
95-th percentile27
Maximum29
Range20
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.5765892
Coefficient of variation (CV)0.10968998
Kurtosis1.4838305
Mean23.48974
Median Absolute Deviation (MAD)2
Skewness-0.96115758
Sum207203
Variance6.638812
MonotonicityNot monotonic
2025-02-05T17:04:52.544161image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
26 1648
18.7%
24 1522
17.3%
25 1350
15.3%
22 925
10.5%
21 924
10.5%
23 871
9.9%
27 453
 
5.1%
20 420
 
4.8%
19 217
 
2.5%
18 133
 
1.5%
Other values (11) 358
 
4.1%
ValueCountFrequency (%)
9 3
 
< 0.1%
10 5
 
0.1%
11 4
 
< 0.1%
12 7
 
0.1%
13 8
 
0.1%
14 8
 
0.1%
15 32
 
0.4%
16 63
0.7%
17 106
1.2%
18 133
1.5%
ValueCountFrequency (%)
29 15
 
0.2%
28 107
 
1.2%
27 453
 
5.1%
26 1648
18.7%
25 1350
15.3%
24 1522
17.3%
23 871
9.9%
22 925
10.5%
21 924
10.5%
20 420
 
4.8%

Wet Bulb
Real number (ℝ)

High correlation 

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.952613
Minimum13
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.0 KiB
2025-02-05T17:04:52.747616image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile21
Q123
median25
Q327
95-th percentile28
Maximum30
Range17
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.1272498
Coefficient of variation (CV)0.085251586
Kurtosis0.90266138
Mean24.952613
Median Absolute Deviation (MAD)2
Skewness-0.79059835
Sum220107
Variance4.5251919
MonotonicityNot monotonic
2025-02-05T17:04:52.952835image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
27 1696
19.2%
26 1675
19.0%
25 1516
17.2%
23 1122
12.7%
24 1047
11.9%
28 607
 
6.9%
22 571
 
6.5%
21 239
 
2.7%
20 121
 
1.4%
19 102
 
1.2%
Other values (8) 125
 
1.4%
ValueCountFrequency (%)
13 1
 
< 0.1%
14 5
 
0.1%
15 5
 
0.1%
16 7
 
0.1%
17 8
 
0.1%
18 26
 
0.3%
19 102
 
1.2%
20 121
 
1.4%
21 239
2.7%
22 571
6.5%
ValueCountFrequency (%)
30 5
 
0.1%
29 68
 
0.8%
28 607
 
6.9%
27 1696
19.2%
26 1675
19.0%
25 1516
17.2%
24 1047
11.9%
23 1122
12.7%
22 571
 
6.5%
21 239
 
2.7%

High Wet Bulb
Real number (ℝ)

High correlation 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.071761
Minimum14
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.0 KiB
2025-02-05T17:04:53.155849image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile22
Q124
median25
Q327
95-th percentile28
Maximum30
Range16
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.0733591
Coefficient of variation (CV)0.08269699
Kurtosis0.80971191
Mean25.071761
Median Absolute Deviation (MAD)2
Skewness-0.74680264
Sum221158
Variance4.2988181
MonotonicityNot monotonic
2025-02-05T17:04:53.362810image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
27 1728
19.6%
26 1699
19.3%
25 1519
17.2%
24 1105
12.5%
23 1059
12.0%
28 666
 
7.6%
22 506
 
5.7%
21 202
 
2.3%
20 110
 
1.2%
19 90
 
1.0%
Other values (7) 137
 
1.6%
ValueCountFrequency (%)
14 3
 
< 0.1%
15 4
 
< 0.1%
16 8
 
0.1%
17 5
 
0.1%
18 16
 
0.2%
19 90
 
1.0%
20 110
 
1.2%
21 202
 
2.3%
22 506
5.7%
23 1059
12.0%
ValueCountFrequency (%)
30 12
 
0.1%
29 89
 
1.0%
28 666
 
7.6%
27 1728
19.6%
26 1699
19.3%
25 1519
17.2%
24 1105
12.5%
23 1059
12.0%
22 506
 
5.7%
21 202
 
2.3%

Low Wet Bulb
Real number (ℝ)

High correlation 

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.820429
Minimum13
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.0 KiB
2025-02-05T17:04:53.565794image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile21
Q123
median25
Q327
95-th percentile28
Maximum30
Range17
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.1810761
Coefficient of variation (CV)0.087874231
Kurtosis0.97371827
Mean24.820429
Median Absolute Deviation (MAD)2
Skewness-0.82481397
Sum218941
Variance4.7570928
MonotonicityNot monotonic
2025-02-05T17:04:53.765988image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
26 1659
18.8%
27 1637
18.6%
25 1511
17.1%
23 1177
13.3%
24 1019
11.6%
22 624
 
7.1%
28 541
 
6.1%
21 277
 
3.1%
20 144
 
1.6%
19 110
 
1.2%
Other values (8) 122
 
1.4%
ValueCountFrequency (%)
13 2
 
< 0.1%
14 7
 
0.1%
15 5
 
0.1%
16 10
 
0.1%
17 10
 
0.1%
18 40
 
0.5%
19 110
 
1.2%
20 144
 
1.6%
21 277
3.1%
22 624
7.1%
ValueCountFrequency (%)
30 2
 
< 0.1%
29 46
 
0.5%
28 541
 
6.1%
27 1637
18.6%
26 1659
18.8%
25 1511
17.1%
24 1019
11.6%
23 1177
13.3%
22 624
 
7.1%
21 277
 
3.1%

Heat Index
Real number (ℝ)

High correlation 

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.999773
Minimum27
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.0 KiB
2025-02-05T17:04:53.957761image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile29
Q132
median35
Q338
95-th percentile41
Maximum45
Range18
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.7329507
Coefficient of variation (CV)0.10665642
Kurtosis-0.89034265
Mean34.999773
Median Absolute Deviation (MAD)3
Skewness0.1708392
Sum308733
Variance13.934921
MonotonicityNot monotonic
2025-02-05T17:04:54.149541image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
34 1003
11.4%
31 884
10.0%
35 752
8.5%
39 738
8.4%
36 727
8.2%
32 700
7.9%
30 623
 
7.1%
38 619
 
7.0%
37 588
 
6.7%
33 510
 
5.8%
Other values (9) 1677
19.0%
ValueCountFrequency (%)
27 1
 
< 0.1%
28 99
 
1.1%
29 393
 
4.5%
30 623
7.1%
31 884
10.0%
32 700
7.9%
33 510
5.8%
34 1003
11.4%
35 752
8.5%
36 727
8.2%
ValueCountFrequency (%)
45 6
 
0.1%
44 45
 
0.5%
43 89
 
1.0%
42 170
 
1.9%
41 382
4.3%
40 492
5.6%
39 738
8.4%
38 619
7.0%
37 588
6.7%
36 727
8.2%

High Heat Index
Real number (ℝ)

High correlation 

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.177871
Minimum28
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.0 KiB
2025-02-05T17:04:54.338928image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile30
Q132
median35
Q338
95-th percentile41
Maximum45
Range17
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.740747
Coefficient of variation (CV)0.10633807
Kurtosis-0.87218685
Mean35.177871
Median Absolute Deviation (MAD)3
Skewness0.17930423
Sum310304
Variance13.993188
MonotonicityNot monotonic
2025-02-05T17:04:54.529753image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
34 969
11.0%
31 885
10.0%
35 786
8.9%
39 726
8.2%
32 705
8.0%
36 703
8.0%
38 624
 
7.1%
37 607
 
6.9%
30 560
 
6.3%
33 550
 
6.2%
Other values (8) 1706
19.3%
ValueCountFrequency (%)
28 80
 
0.9%
29 326
 
3.7%
30 560
6.3%
31 885
10.0%
32 705
8.0%
33 550
6.2%
34 969
11.0%
35 786
8.9%
36 703
8.0%
37 607
6.9%
ValueCountFrequency (%)
45 9
 
0.1%
44 56
 
0.6%
43 120
 
1.4%
42 179
 
2.0%
41 429
4.9%
40 507
5.7%
39 726
8.2%
38 624
7.1%
37 607
6.9%
36 703
8.0%

Interactions

2025-02-05T17:04:35.929107image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:16.859802image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:21.153558image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:25.990423image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:30.555208image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:34.504243image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:38.261577image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:41.740611image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:45.556717image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:49.112209image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:52.915982image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:56.481996image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:04:00.210756image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:04:03.971689image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:04:07.562599image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:04:11.499822image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:04:15.275006image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:04:19.416637image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
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2025-02-05T17:03:41.901408image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:45.710571image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
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2025-02-05T17:03:56.636349image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:04:00.368659image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:04:04.125180image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:04:07.721874image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
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2025-02-05T17:03:34.830725image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
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2025-02-05T17:04:23.665320image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
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2025-02-05T17:03:42.384667image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
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2025-02-05T17:03:20.730469image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:25.463546image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:30.162638image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:34.050551image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:37.909772image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:41.397626image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:45.194587image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:48.755550image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:52.555500image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:56.125417image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:59.856464image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:04:03.447775image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:04:07.202751image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:04:11.132947image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:04:14.905171image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:04:19.044373image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:04:22.926832image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:04:26.916669image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:04:30.935682image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:04:35.422962image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:04:40.784564image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:20.936557image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:25.738866image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:30.360976image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:34.331782image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:38.085577image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:41.563578image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:45.373672image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:48.934805image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:52.729638image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:03:56.305830image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:04:00.034737image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:04:03.623651image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:04:07.383476image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:04:11.316828image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:04:15.092686image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:04:19.224322image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:04:23.110737image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:04:27.100503image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:04:31.118080image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-02-05T17:04:35.669745image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Correlations

2025-02-05T17:04:54.713707image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
AQIDew PointHeat IndexHigh Dew PointHigh Heat IndexHigh HumHigh PM 1High PM 10High PM 2.5High Temp - CHigh Wet BulbHumLow Dew PointLow HumLow Temp - CLow Wet BulbPM 1PM 10PM 2.5Temp - CWet Bulb
AQI1.000-0.204-0.194-0.195-0.188-0.1480.9860.9810.986-0.129-0.198-0.167-0.216-0.186-0.127-0.2160.9970.9990.999-0.127-0.205
Dew Point-0.2041.0000.9530.9890.9480.835-0.216-0.214-0.2140.7870.9770.8410.9880.8380.7880.981-0.208-0.201-0.2040.7890.982
Heat Index-0.1940.9531.0000.9540.9950.685-0.217-0.213-0.2130.9080.9660.6880.9470.6870.9080.960-0.200-0.192-0.1950.9090.965
High Dew Point-0.1950.9890.9541.0000.9540.831-0.209-0.206-0.2060.7960.9820.8280.9790.8270.7960.980-0.200-0.193-0.1960.7970.981
High Heat Index-0.1880.9480.9950.9541.0000.681-0.211-0.207-0.2070.9110.9660.6800.9430.6800.9110.957-0.193-0.185-0.1880.9120.961
High Hum-0.1480.8350.6850.8310.6811.000-0.130-0.135-0.1340.4090.7970.9900.8410.9850.4110.807-0.147-0.147-0.1480.4120.802
High PM 10.986-0.216-0.217-0.209-0.211-0.1301.0000.9850.991-0.162-0.215-0.149-0.228-0.169-0.162-0.2310.9880.9850.986-0.161-0.221
High PM 100.981-0.214-0.213-0.206-0.207-0.1350.9851.0000.994-0.157-0.211-0.155-0.226-0.175-0.157-0.2280.9790.9820.981-0.156-0.218
High PM 2.50.986-0.214-0.213-0.206-0.207-0.1340.9910.9941.000-0.157-0.211-0.153-0.226-0.173-0.157-0.2280.9840.9860.986-0.156-0.218
High Temp - C-0.1290.7870.9080.7960.9110.409-0.162-0.157-0.1571.0000.8220.4100.7780.4110.9750.808-0.134-0.125-0.1290.9870.815
High Wet Bulb-0.1980.9770.9660.9820.9660.797-0.215-0.211-0.2110.8221.0000.7950.9730.7940.8220.978-0.203-0.196-0.1990.8240.988
Hum-0.1670.8410.6880.8280.6800.990-0.149-0.155-0.1530.4100.7951.0000.8450.9910.4130.811-0.166-0.166-0.1670.4130.807
Low Dew Point-0.2160.9880.9470.9790.9430.841-0.228-0.226-0.2260.7780.9730.8451.0000.8500.7790.982-0.220-0.214-0.2170.7800.977
Low Hum-0.1860.8380.6870.8270.6800.985-0.169-0.175-0.1730.4110.7940.9910.8501.0000.4140.816-0.185-0.185-0.1860.4140.805
Low Temp - C-0.1270.7880.9080.7960.9110.411-0.162-0.157-0.1570.9750.8220.4130.7790.4141.0000.808-0.132-0.125-0.1280.9860.815
Low Wet Bulb-0.2160.9810.9600.9800.9570.807-0.231-0.228-0.2280.8080.9780.8110.9820.8160.8081.000-0.220-0.213-0.2160.8090.987
PM 10.997-0.208-0.200-0.200-0.193-0.1470.9880.9790.984-0.134-0.203-0.166-0.220-0.185-0.132-0.2201.0000.9960.997-0.132-0.210
PM 100.999-0.201-0.192-0.193-0.185-0.1470.9850.9820.986-0.125-0.196-0.166-0.214-0.185-0.125-0.2130.9961.0000.999-0.124-0.203
PM 2.50.999-0.204-0.195-0.196-0.188-0.1480.9860.9810.986-0.129-0.199-0.167-0.217-0.186-0.128-0.2160.9970.9991.000-0.127-0.206
Temp - C-0.1270.7890.9090.7970.9120.412-0.161-0.156-0.1560.9870.8240.4130.7800.4140.9860.809-0.132-0.124-0.1271.0000.816
Wet Bulb-0.2050.9820.9650.9810.9610.802-0.221-0.218-0.2180.8150.9880.8070.9770.8050.8150.987-0.210-0.203-0.2060.8161.000

Missing values

2025-02-05T17:04:41.150501image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
A simple visualization of nullity by column.
2025-02-05T17:04:41.838587image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Date & TimeAQIHigh AQIPM 1High PM 1PM 2.5High PM 2.5PM 10High PM 10Temp - CHigh Temp - CLow Temp - CHumHigh HumLow HumDew PointHigh Dew PointLow Dew PointWet BulbHigh Wet BulbLow Wet BulbHeat IndexHigh Heat Index
04/1/23 12:00 AM38364105122829286868672222222323233131
14/1/23 12:15 AM3636486122828286868682222222323233131
24/1/23 12:30 AM49475116122828286868682222222323233131
34/1/23 12:45 AM4736496132828286868682222222323233131
44/1/23 1:00 AM4746596142828286868682222222323233131
54/1/23 1:15 AM411465146152829286868682222222323233131
64/1/23 1:30 AM4747596122828286969682222222323233131
74/1/23 1:45 AM510586138222828286970692222222424233131
84/1/23 2:00 AM510587128162828286969692222222324233131
94/1/23 2:15 AM510577128152828286970692222222424233131
Date & TimeAQIHigh AQIPM 1High PM 1PM 2.5High PM 2.5PM 10High PM 10Temp - CHigh Temp - CLow Temp - CHumHigh HumLow HumDew PointHigh Dew PointLow Dew PointWet BulbHigh Wet BulbLow Wet BulbHeat IndexHigh Heat Index
88115/31/23 9:45 PM242425373131317272712626262727274040
88125/31/23 10:00 PM232424273131317272722626262727274040
88135/31/23 10:15 PM151426263131317373722626262727274040
88145/31/23 10:30 PM151326293131317474732626262727274040
88155/31/23 10:45 PM252426273131317474742626262727274040
88165/31/23 11:00 PM262427373131317474742626262727274040
88175/31/23 11:15 PM2624273133131317474742626262727274040
88185/31/23 11:30 PM252426383131317575742626262727274040
88195/31/23 11:45 PM262427393131317575752626262728274141
88206/1/23 12:00 AM141325273131317576752626262728274041

Duplicate rows

Most frequently occurring

Date & TimeAQIHigh AQIPM 1High PM 1PM 2.5High PM 2.5PM 10High PM 10Temp - CHigh Temp - CLow Temp - CHumHigh HumLow HumDew PointHigh Dew PointLow Dew PointWet BulbHigh Wet BulbLow Wet BulbHeat IndexHigh Heat Index# duplicates
04/1/23 12:00 AM383641051228292868686722222223232331312
15/1/23 12:00 AM595861171130303070707024242425252535352